Applied AI Specialist

Applied AI Specialist - Cloud Full Stack

Location : Dallas,TX

Required Skills

Programming & Data Skills: Strong in Python and SQL.

Machine Learning Fundamentals: Hands-on with XGBoost, Random Forest, Gradient Boosting, Scikit-learn, PyTorch, TensorFlow, plus deep learning architectures like CNN, U-Net, Autoencoder.

Generative AI / LLM Development: Experience with LangChain, LangGraph, Agentic AI, fine-tuning small/large language models (SLMs/LLMs), and prompt optimization.

RAG & Embeddings: Skilled in Retrieval-Augmented Generation (RAG), FAISS, vector databases, Transformers, BERT, Hugging Face.

Frameworks & APIs: Strong with LangChain framework, REST APIs, Git, CI/CD, Kubernetes.

Cloud ML Platforms: Hands-on with AWS SageMaker, Azure ML Studio, IBM Cloud.

AI Agents & Evaluation: Knowledge of multi-agent systems, RAGAS, LLM-as-Judge, hallucination detection, guardrails.

Problem-Solving: Strong debugging skills and ability to translate business needs into working AI solutions.

Good-to-Have Skills

Extra depth in PyTorch / TensorFlow.

MCP (Microsoft Certified Professional).

MLOps: Pipelines, drift monitoring, observability, Docker, MLflow, Databricks, AWS Lambda, S3.

GraphRAG (graph-based retrieval augmented generation).

Full Stack Web: React, Node.js, TypeScript.